Confluent Kafka Engineer

HW3; Dallas (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

HW3 seeks an experienced Confluent Kafka Engineer to design, build, and optimize scalable, real-time streaming solutions for telecom environments.

The role requires deep Kafka expertise, cloud and container experience (AWS/Azure/GCP; Kubernetes/OpenShift), and strong security practices (SSL/TLS, SASL, RBAC). Knowledge of OSS/BSS, CRM and billing systems is highly valued.

Qualifications

• Strong expertise in Apache Kafka, Confluent Platform, Kafka Producers/Consumers, Kafka Connect, Schema Registry, Kafka Streams, and ksqlDB.
• Proficiency in Java, Python, or Scala, with experience deploying Kafka on Confluent Cloud, Kubernetes/OpenShift, and cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Kafka monitoring, troubleshooting, performance tuning, and implementing secure streaming using SSL/TLS, SASL authentication, and RBAC.
• Telecom industry experience working with OSS/BSS, CRM, Billing, CDRs, Network Events (4G/5G), and real-time data streaming pipelines.
• Strong understanding of event-driven architectures and building scalable, high-performance streaming solutions.

Responsibilities

• Build and manage real-time streaming pipelines using Kafka.
• Integrate Kafka with telecom systems, including OSS/BSS, CRM, and billing platforms.
• Monitor, troubleshoot, and optimize Kafka environments to ensure high availability and performance.
• Deliver scalable, low-latency streaming solutions that support mission-critical telecom operations.

Skills

Apache Kafka

Confluent Platform

Kafka Producers/Consumers

Kafka Connect

Schema Registry

Kafka Streams

ksqlDB

Java

Python

Scala

Cloud platforms

AWS

Azure

GCP

Kubernetes

OpenShift

SSL/TLS

SASL

RBAC

OSS/BSS

CRM

Billing

Event-driven architecture

Tools

Kubernetes

OpenShift

Confluent Cloud

Job description

We are looking for an experienced Confluent Kafka Engineer to join our team and help design, build, and optimize scalable, real-time streaming solutions.

Required Skills:

• Strong expertise in Apache Kafka, Confluent Platform, Kafka Producers/Consumers, Kafka Connect, Schema Registry, Kafka Streams, and ksqlDB.
• Proficiency in Java (preferred), Python, or Scala, with experience deploying Kafka on Confluent Cloud, Kubernetes/OpenShift, and cloud platforms such as AWS, Azure, or GCP.
• Hands-on experience with Kafka monitoring, troubleshooting, performance tuning, and implementing secure streaming using SSL/TLS, SASL authentication, and RBAC.
• Telecom industry experience working with OSS/BSS, CRM, Billing, CDRs, Network Events (4G/5G), and real-time data streaming pipelines.
• Strong understanding of event-driven architectures and building scalable, high-performance streaming solutions.

Key Responsibilities:

• Build and manage real-time streaming pipelines using Kafka.
• Integrate Kafka with telecom systems, including OSS/BSS, CRM, and billing platforms.
• Monitor, troubleshoot, and optimize Kafka environments to ensure high availability and performance.
• Deliver scalable, low-latency streaming solutions that support mission-critical telecom operations.

Preferred Qualifications:

• Experience with Apache Flink or Spark Streaming.
• Knowledge of microservices architecture.
• Confluent or Apache Kafka certifications.